About: Information Consumption and Social Response in a Segregated Environment: the Case of Gab

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Information Consumption and Social Response in a Segregated Environment: the Case of Gab Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Information Consumption and Social Response in a Segregated Environment: the Case of Gab
Creator	Conti, Mauro Eo Cinelli, Ma Etta, Gabriele Galeazzi, Alessandro
topic	covid:1ee3d019ee347f1ec0227158e082af9e8c81a3a8#this
Source	ArXiv
abstract	Most of the information operations involve users who may foster polarization and distrust toward science and mainstream journalism, without these users being conscious of their role. Gab is well known to be an extremist-friendly platform that performs little control on the posted content. Thus it represents an ideal benchmark for studying phenomena potentially related to polarization such as misinformation spreading. The combination of these factors may lead to hate as well as to episodes of harm in the real world. In this work we provide a characterization of the interaction patterns within Gab around the COVID-19 topic. To assess the spreading of different content type, we analyze consumption patterns based on both interaction type and source reliability. Overall we find that there are no strong statistical differences in the social response to questionable and reliable content, both following a power law distribution. However, questionable and reliable sources display structural and topical differences in the use of hashtags. The commenting behaviour of users in terms of both lifetime and sentiment reveals that questionable and reliable posts are perceived in the same manner. We can conclude that despite evident differences between questionable and reliable posts Gab users do not perform such a differentiation thus treating them as a whole. Our results provide insights toward the understanding of coordinated inauthentic behavior and on the early-warning of information operation.
has issue date	2020-06-03(xsd:dateTime)
has license	arxiv
sha1sum (hex)	1ee3d019ee347f1ec0227158e082af9e8c81a3a8
resource representing a document's title	Information Consumption and Social Response in a Segregated Environment: the Case of Gab
resource representing a document's body	covid:1ee3d019ee347f1ec0227158e082af9e8c81a3a8#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/1ee3d019ee347f1ec0227158e082af9e8c81a3a8
is schema:about of	named entity 'conscious' named entity 'control' named entity 'Social' named entity 'RELATED' named entity 'PLATFORM' named entity 'THEIR' named entity 'MAINSTREAM' named entity 'hashtag' named entity 'news outlet' named entity 'hashtag' named entity 'hashtag' named entity 'Social media platforms' named entity 'hashtags' named entity 'news outlet' named entity 'Reddit' named entity 'connected components' named entity 'Reblogs' named entity 'Reblogs' named entity 'hashtag' named entity 'social media' named entity 'p-values' named entity 'hashtags' named entity 'YouTube' named entity 'social network' named entity 'social media' named entity 'Pseudoscience' named entity 'fact-checking' named entity 'hashtag' named entity 'free speech' named entity 'hashtags' named entity 'bipartite graph' named entity 'co-occurrence networks' named entity 'social media platforms' named entity 'Breitbart' named entity 'hashtags' named entity 'undirected graph' named entity 'adjacency matrix' named entity 'information operations' named entity 'weighted network' named entity 'hashtag' named entity 'information operations' named entity 'hashtag' named entity 'adjacency matrix' named entity 'semantic' named entity 'polarization' named entity 'Google Trends' named entity 'hashtags' named entity 'reblogs' named entity 'co-occurrence network' named entity 'social environments' named entity 'hashtag' named entity 'power law' named entity 'hashtags' named entity 'hashtag' named entity 'fake news' named entity 'connected component' named entity 'hashtags' named entity 'polarization' named entity 'Twi' named entity 'binary matrix' named entity 'Kaplan-Meier' named entity 'polarization' named entity 'hashtag' named entity 'democrats' named entity 'Pseudoscience' named entity 'power law' named entity 'bipartite graph' named entity 'Hashtag' named entity 'topological analysis' named entity 'information operations' named entity 'news outlets' named entity 'connected component' named entity 'cardinality' named entity 'hashtags' named entity 'bipartite graph' named entity 'Facebook' named entity 'social dynamics' named entity 'WHO' named entity 'evolution' named entity 'Handshaking Lemma' named entity 'political bias' named entity 'Twi'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software